Roundtable AI MCP Server Details
Roundtable AI MCP Server is a zero-configuration local MCP server that unifies multiple AI coding assistants (Codex, Claude Code, Cursor, Gemini) through intelligent auto-discovery and a standardized interface. It coordinates specialized sub-agents from within your IDE to solve engineering problems in parallel, sharing context and synthesizing responses into a single, high-quality output. This documentation details installation, available MCP tools, integration with popular IDEs, and a broad ecosystem of specialized tools and CLIs that can be invoked as part of a roundtable-powered workflow, enabling developers to delegate tasks to the right AI for each facet of a problem without leaving their development environment.
Use Case
Roundtable AI MCP Server orchestrates multiple specialized AI sub-agents from a single prompt inside your IDE. It provides context continuity, parallel execution, and model specialization by delegating tasks to Gemini for analysis, Claude for reasoning, and Codex for implementation, all coordinated via a local MCP server. This reduces context switching and wait times by running sub-agents in parallel and synthesizing the final answer automatically. Typical use cases include multi-agent debugging, performance optimization, and code reviews, all across your existing CLI tools and API subscriptions with zero markup.
Example workflow:
pip install roundtable-ai
roundtable-airoundtable-ai --checkroundtable-ai --agents codex,claudeclaude mcp add roundtable-ai -- roundtable-ai --agents gemini,claude,codex,cursorThese patterns are demonstrated in the documentation with real-world examples and multi-agent prompts, such as:
The user dashboard is randomly slow for enterprise customers.Use Gemini SubAgent to analyze frontend performance issues in the React components, especially expensive re-renders and inefficient data fetching.
Use Codex SubAgent to examine the backend API endpoint for N+1 queries and database bottlenecks.
Use Claude SubAgent to review the infrastructure logs and identify memory/CPU pressure during peak hours.
The MCP server also exposes a rich set of integration options for IDEs and CLIs, and a catalogue of available tools (see the Available MCP Tools section) to tailor the workflow to your environment.
Available Tools (28)
Examples & Tutorials
Real example code and usage patterns directly from the documentation:
1) Quick Start:
<h1 class="text-2xl font-semibold mt-5 mb-3">Install Roundtable AI</h1>
pip install roundtable-ai<h1 class="text-2xl font-semibold mt-5 mb-3">Check available AI tools</h1>
roundtable-ai --check
<h1 class="text-2xl font-semibold mt-5 mb-3">Start with all available tools</h1>
roundtable-ai
<h1 class="text-2xl font-semibold mt-5 mb-3">Use specific assistants only</h1>
roundtable-ai --agents codex,claude
2) One-liner for Claude Code:
claude mcp add roundtable-ai -- roundtable-ai --agents gemini,claude,codex,cursor3) Multi-agent prompt example (in IDE):
The user dashboard is randomly slow for enterprise customers.Use Gemini SubAgent to analyze frontend performance issues in the React components, especially expensive re-renders and inefficient data fetching.
Use Codex SubAgent to examine the backend API endpoint for N+1 queries and database bottlenecks.
Use Claude SubAgent to review the infrastructure logs and identify memory/CPU pressure during peak hours.
4) Real-World Examples (snippet):
1) Multi-Stack Debugging — Virtual War Room for Production Issues{
"timestamp": "2024-09-24T10:05:21.123Z",
"level": "error",
"message": "API request failed for /api/v1/user/profile",
"error": {"status": 500, "statusText": "Internal Server Error"}
}
These examples illustrate how to delegate to Gemini, Codex, Claude, and Cursor SubAgents and aggregate findings into a single incident report. The documentation provides additional long-form examples under Real-World Examples with accompanying code blocks and prompts.
Installation Guide
Step-by-step installation instructions with actual commands from the documentation:
pip install roundtable-airoundtable-airoundtable-ai --checkuvx roundtable-ai@latestIntegration Guides
Frequently Asked Questions
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Key notes from the documentation:
Requirements before using this MCP: Python 3.10+ is indicated as the Python version for Roundtable AI MCP Server. Ensure you have a compatible IDE or CLI environment and access to the required AI tools/subagents you plan to use.
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